Ingénieur traitement du signal F/H

Thales
France
Workplace: OnsiteContractFunction: Data Science & Machine LearningEducation: mastersSkills: ["Teamwork","Problem-solving","Critical thinking","Autonomy","Continuous learning"]

Develop and evaluate radar signal processing methods for separating targets from clutter in complex, heterogeneous, and non-stationary scenarios. Focus on low-rank/sparse matrix decompositions and Robust Principal Component Analysis (RPCA), proposing models that outperform classical Doppler/MTI approaches. Engineer algorithms end-to-end: define functional capabilities, design and implement solutions, build prototypes, support validation, and test in real environments while coordinating project reporting and delivery.

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FursaFursa
Thales
Thales
12 hours ago

Ingénieur traitement du signal F/H

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Last checked: 12 hours agoStatus: Live

Job Summary

Develop and evaluate radar signal processing methods for separating targets from clutter in complex, heterogeneous, and non-stationary scenarios. Focus on low-rank/sparse matrix decompositions and Robust Principal Component Analysis (RPCA), proposing models that outperform classical Doppler/MTI approaches. Engineer algorithms end-to-end: define functional capabilities, design and implement solutions, build prototypes, support validation, and test in real environments while coordinating project reporting and delivery.
Location: France
Workplace: Onsite
Employment Type: Contract
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Work on algorithmic engineering for analyzing data, optimization, cryptography, decision-support, information analysis and fusion, image processing, sensor (signal/video) processing, and waveform algorithms.
  • •Define system capabilities via functional/logical/value-based analysis to describe functions needed across user scenarios and optimize customer value.
  • •Critically analyze system/equipment needs and select/adapt algorithmic or software solutions (architectures/technologies).
  • •Build and prototype solutions in realistic/representative contexts, then implement algorithms on targeted platforms.
  • •Support validation teams and ensure project progress (reporting, tracking, client interfaces), testing the algorithm in real environments.

Key Requirements

  • •Master 2 (BAC+5) from a graduate school/engineering school or university program in AI, algorithm engineering, computer science, or a related field.
  • •Technical skills and ability to work in a team.
  • •Ability to solve complex problems and engage in a stimulating R&D environment.
  • •Demonstrated commitment to continuous improvement and learning new skills and technologies.
  • •Autonomous, able to manage workload and achieve agreed objectives while contributing to broader operational goals.
Education:Master's
Skills:TeamworkProblem-solvingCritical thinkingAutonomyContinuous learning
Tech Stack:AICryptographyInformation fusionImage processingSensor processingSignalVideoWaveform designRadioRadarSonarRobust Principal Component Analysis (RPCA)Low-rankSparse decompositionDopplerMTIMoving Target Indicator (MTI)

Eligibility

Security Clearance:Secret

Company Brief

Thales
Designs and delivers advanced systems and services for aerospace, defence, security, and digital identity and cybersecurity markets, serving government and commercial customers worldwide.
Industry: Defense Technology
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Paris, France
Founded: 2000
WebsiteLinkedIn